Team
Das Lehrstuhl-Team
Externe Doktorandin
Shahrzad Kurbiel, M.Sc., geb. Khaleghian
Forschungsgebiete:
- Kauffrequenz-Modellierung
- Markov-Chain-Monte-Carlo_Simulationsverfahren
- Preisoptimierung
- Multichannel Marketing
Publikationen:
- Adler, Jost; Kurbiel, Shahrzad: Markov Chain Monte Carlo: Eine Methode zur Schätzung von Modellparametern. In: WiSt, Jg. 44 (2015) Nr. 5, S. 238-245. BIB DownloadDetails
Tagungen:
- 2024 53rd European Marketing Academy (EMAC) Annual Conference (May 28-31), Bukarest, Rumänien
- 2018 47th European Marketing Academy (EMAC) Annual Conference (29 Mai-1 Juni), Glasgow, UK
- 2017 46th European Marketing Academy (EMAC) Annual Conference (23-26 Mai), Groningen, Netherlands
Vorträge:
- Kurbiel, Shahrzad: Application of Convolutional Neuronal Networks in Customer Base Analysis, 53rd European Marketing Academy (EMAC) Annual Conference (May 28-31), 30.05.2024, Bukarest, Rumänien. Details
- Kurbiel, Shahrzad: Heterogeneity of Purchase Trends in Customer Base Analysis, 47th European Marketing Academy (EMAC) Annual Conference (May 29-June 1), 29.05.2018, Glasgow, UK. Details
- Kurbiel, Shahrzad: Profitability of Manufacturer Online Channel Addition to a Dual-Channel Retailer Structure, 46th EMAC Annual Conference (May 23-26), 26.05.2017, Groningen, Netherlands. Details
- Kurbiel, Shahrzad: Manufacturer Online Channel Addition to a Dual-Channel Retailer Structure, 30th EMAC Doctoral Colloquium (May 21-23), 23.05.2017, Groningen, Netherlands. Details
Lehrveranstaltungen:
- Empirische Forschungsmethoden - Multivariate Datenanalyse
- Übung zum wissenschaftlichen Arbeiten
- Forschungsseminar Marketing (Hauptseminar)